TensorFlow2.0_Notebooks VS Network-Intrusion-Detection-Using-Machine-Learning

Compare TensorFlow2.0_Notebooks vs Network-Intrusion-Detection-Using-Machine-Learning and see what are their differences.

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TensorFlow2.0_Notebooks Network-Intrusion-Detection-Using-Machine-Learning
1 1
37 97
- -
0.0 1.8
about 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TensorFlow2.0_Notebooks

Posts with mentions or reviews of TensorFlow2.0_Notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-17.

Network-Intrusion-Detection-Using-Machine-Learning

Posts with mentions or reviews of Network-Intrusion-Detection-Using-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing TensorFlow2.0_Notebooks and Network-Intrusion-Detection-Using-Machine-Learning you can also consider the following projects:

mmcv - OpenMMLab Computer Vision Foundation

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

AlphaPy - Python AutoML for Trading Systems and Sports Betting

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.